Wine product positioning method, wine product information management method and apparatus, device, and storage medium

Abstract

Disclosed are a wine product positioning method, a wine product information management method and apparatus, a computer device, and a computer-readable storage medium. Based on a preset camera in a wine cellar, a wine product image captured by the preset camera and corresponding to a target wine product is acquired (S 21 ). Based on a preset wine label recognition method combining optical character recognition (OCR) and deep learning recognition, the wine product image is recognized to obtain a wine label corresponding to the wine product image (S 22 ). A preset capture position corresponding to the camera is acquired, and the preset capture position is taken as a current position corresponding to the target wine product (S 23 ). A position corresponding to the target wine product is described by using the wine label and the current position, to position the target wine product (S 24 ).

What is claimed is: 
     
       1. A wine product positioning method, comprising:
 acquiring, based on a preset camera in a wine cellar, a wine product image captured by the preset camera and corresponding to a target wine product; 
 recognizing, based on a preset wine label recognition method combining optical character recognition (OCR) and deep learning recognition, the wine product image to obtain a wine label corresponding to the wine product image; 
 acquiring a preset capture position corresponding to the camera, and taking the preset capture position as a current position corresponding to the target wine product; and 
 describing a position corresponding to the target wine product by using the wine label and the current position, to position the target wine product. 
 
     
     
       2. The wine product positioning method according to  claim 1 , wherein the step of recognizing, based on a preset wine label recognition method combining OCR and deep learning recognition, the wine product image to obtain a wine label corresponding to the wine product image comprises:
 performing OCR on the wine product image according to a preset OCR manner, to obtain text comprised in the wine product image; 
 performing deep learning recognition on the wine product image according to a preset deep learning recognition manner, to obtain an image feature comprised in the wine product image; and 
 selecting, according to the text and the image feature, a target wine label matching the text and the image feature from a preset wine label database, and taking the target wine label as the wine label corresponding to the wine product image. 
 
     
     
       3. The wine product positioning method according to  claim 1 , wherein the preset camera comprises a plurality of cameras, the wine product image comprises a plurality of images, and the step of acquiring a preset capture position corresponding to the camera, and taking the preset capture position as a current position corresponding to the target wine product comprises:
 acquiring preset capture positions corresponding to all the wine product images to obtain all the preset capture positions; 
 sorting all the preset capture positions according to a shooting sequence of the corresponding wine product images to obtain a capture position sorting queue; and 
 selecting the last preset capture position at the bottom of the capture position sorting queue, and taking the last preset capture position as the current position corresponding to the target wine product. 
 
     
     
       4. The wine product positioning method according to  claim 2 , wherein the preset camera comprises a plurality of cameras, the wine product image comprises a plurality of images, and the step of acquiring a preset capture position corresponding to the camera, and taking the preset capture position as a current position corresponding to the target wine product comprises:
 acquiring preset capture positions corresponding to all the wine product images to obtain all the preset capture positions; 
 sorting all the preset capture positions according to a shooting sequence of the corresponding wine product images to obtain a capture position sorting queue; and 
 selecting the last preset capture position at the bottom of the capture position sorting queue, and taking the last preset capture position as the current position corresponding to the target wine product. 
 
     
     
       5. A wine product information management method, applied to a terminal, the method comprising:
 sending, in response to an operation of a user, a wine product information acquisition request to a preset server, so that the preset server acquires target wine product information corresponding to the wine product information acquisition request according to the wine product information acquisition request and returns the target wine product information to the terminal, wherein the target wine product information comprises wine product information associated based on a wine product position corresponding to a wine product, the wine product position being a position of the wine product obtained by positioning the wine product according to the wine product positioning method according to  claim 1 ; 
 receiving the target wine product information sent by the preset server; and 
 displaying the target wine product information so that the user acquires the target wine product information. 
 
     
     
       6. A computer device, wherein the computer device comprises a memory and a processor connected to the memory; the memory being configured to store a computer program; and the processor being configured to run the computer program to perform steps of the method according to  claim 1 .